Density peaks clustering based on Gaussian fuzzy neighborhood with noise parameter

Autor: Waqas, Syed Muhammad, Khan, Sumra, Talpur, Kashif, Khan, Rizwan Ahmed

Publikováno v: In Expert Systems With Applications 1 December 2024 255 Part C

Fuzzy Density-Based Clustering for Medical Diagnosis

Autor: Waqas, Syed Muhammad, Hussain, Kashif, Mostafa, Salama A., Nawi, Nazri Mohd, Khan, Sumra

Publikováno v: Waqas, S M, Hussain, K, Mostafa, S A, Nawi, NM & Khan, S 2022, Fuzzy Density-Based Clustering for Medical Diagnosis . in R Ghazali, N M Nawi, M M Deris, J H Abawajy & N Arbaiy (eds), Recent Advances in Soft Computing and Data Mining : Proceedings of the Fifth International Conference on Soft Computing and Data Mining (SCDM 2022), May 30-31, 2022 . Lecture Notes in Networks and Systems, Springer, pp. 264-271 . https://doi.org/10.1007/978-3-031-00828-3_26

Clustering is an effective technique for identifying patterns and structures in labeled and unlabeled datasets in the medical sector. Density-based clustering is a sophisticated machine learning technique for identifying distinctive patterns in large

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https://pure.solent.ac.uk/en/publications/450fbd42-298a-4675-8e04-a774a1a2ed05

Investigating Novice Developers' Code Commenting Trends Using Machine Learning Techniques.

Autor: Niazi, Tahira, Das, Teerath, Ahmed, Ghufran, Waqas, Syed Muhammad, Khan, Sumra, Khan, Suleman, Abdelatif, Ahmed Abdelaziz, Wasi, Shaukat

Publikováno v: Algorithms; Jan2023, Vol. 16 Issue 1, p53, 19p

A SURVEY OF SECURITY THREATS IN DISTRIBUTED OPERATING SYSTEM.

Autor: KHAN, SUMRA, WAQAS, SYED MUHAMMAD, AHMED, ARBAZ

Publikováno v: i-Manager's Journal on Computer Science; Sep-Nov2020, Vol. 8 Issue 3, p44-60, 17p